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Learning to Link Grammar and Encyclopedic Information of Assist ESL Learners

Jhih-Jie Chen, Chingyu Yang, Peichen Ho, Ming Chiao Tsai, Chia-Fang Ho, Kai-Wen Tuan, Chung-Ting Tsai, Wen-Bin Han, Jason Chang
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations  
The method involves word sense disambiguation on target words, automatically parsing the sentences in a large-scale corpus, automatically generating grammar patterns, collocations, examples, and quizzes  ...  Evaluation on a set of target words shows that the method has reasonably good performance in terms of generating useful and correct information for vocabulary learning.  ...  In general, WSD systems typically use supervised learning approach with a sense inventory such as WordNet WSD systems based on dictionary-based sense inventory (e.g., WordNet) and a sense-annotated corpus  ... 
doi:10.18653/v1/p19-3034 dblp:conf/acl/ChenYHTHTTHC19 fatcat:a3hckkadjnbtto56gc2qkzhuya

A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association

Xin Wang, Wanli Zuo, Ying Wang
2013 The Scientific World Journal  
In this paper, we propose a novel approach to word sense disambiguation based on topical and semantic association.  ...  Word sense disambiguation (WSD) is a fundamental problem in nature language processing, the objective of which is to identify the most proper sense for an ambiguous word in a given context.  ...  Conclusions In this paper, we propose a novel approach for word sense disambiguation based on topical and semantic association.  ... 
doi:10.1155/2013/586327 pmid:24294131 pmcid:PMC3833093 fatcat:ibbu2es2xzap3p77dpebtqjzsu

An Approach to Improve the Representation of the User Model in the Web-Based Systems

Yasser A, Khaled M.
2011 International Journal of Advanced Computer Science and Applications  
We use word definitions and relations provided by WordNet to perform word sense disambiguation and employ domain-specific concepts as category labels for the semantically enhanced user models.  ...  For a certain keyword, we extract the words which have the semantic relationships with the keyword and add them into the user interest model as nodes according to semantic relationships in the WordNet.  ...  It was presented [9] a framework for content-based retrieval integrating a relevance feedback method with a word sense disambiguation (WSD) strategy based on WordNet for inducing semantic user profiles  ... 
doi:10.14569/ijacsa.2011.021223 fatcat:rfqg4fy5yfhhzciggqshxefmby


Pasquale Lops, Cataldo Musto, Fedelucio Narducci, Marco De Gemmis, Pierpaolo Basile, Giovanni Semeraro
2010 Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems - HetRec '10  
representation based on keywords, to a more complex language-independent representation based on word meanings.  ...  As a consequence, the recommender system is able to suggest items represented in a language different from the one used in the content-based user profile.  ...  The assignment of the right meaning to words is based on a WSD algorithm that exploits Multi-WordNet as sense repository.  ... 
doi:10.1145/1869446.1869450 fatcat:xmhcwuwy7bfy3jv6r7nzzm55re

Context Disambiguation Based Semantic Web Search for Effective Information Retrieval

2011 Journal of Computer Science  
Problem statement: Search queries are short and ambiguous and are insufficient for specifying precise user needs.  ...  Approach: In this study, we introduce an effective approach that captures the user's specific context by using the WordNet based semantic relatedness measure and the measures of joint keyword occurrences  ...  The approach (Liu et al., 2004) learns the user's profile from the search histories and constructs a general profile based on the Open Directory Project category hierarchy as the context for each query  ... 
doi:10.3844/jcssp.2011.548.553 fatcat:angllqchabf5lbo7zugonsyo5y

Building a sense tagged corpus with open mind word expert

Timothy Chklovski, Rada Mihalcea
2002 Proceedings of the ACL-02 workshop on Word sense disambiguation recent successes and future directions -  
Open Mind Word Expert is an implemented active learning system for collecting word sense tagging from the general public over the Web. It is available at  ...  If successful, the collection process can be extended to create the definitive corpus of word sense information.  ...  to all the Open Mind Word Expert users who have emailed us with their feedback and suggestions, helping us improve this activity.  ... 
doi:10.3115/1118675.1118692 dblp:conf/semeval/ChklovskiM02 fatcat:n7nunfccabd43glqtkuse3acp4

Use of Granularity and Coverage in a User Profile Model to Personalise Visual Content Retrieval

Kraisak Kesorn, Zekeng Liang, Stefan Poslad
2009 2009 Second International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services  
This paper presents a user modelling framework, which integrates a statistic model based upon Latent Semantic Indexing (LSI) and a First-order Logic (FOL) type knowledge-based technique, in order to acquire  ...  The framework is also able to construct a user profile at appropriate levels of granularity and coverage by taking advantage of concept properties, relations and the distance between nodes in users' model  ...  Hence, word sense or meaning disambiguation is necessarily.  ... 
doi:10.1109/centric.2009.19 fatcat:4riizlmfqzgy5pfhsndlyvsn3q

Proposed Approach to Build Semantic Learner Model in Adaptive E-Learning

Khaled M.Fouad
2012 International Journal of Computer Applications  
Term definitions and relations are used, provided by WordNet ontology, to perform domain-specific concepts as category labels for the semantic learner models.  ...  In this paper, the proposed approach aims at improving representation of a learner model during acquiring leaner profile, which is based on learner interest and learning style, in content-based approaches  ...  Reformat and Koosha in [11] introduced a method for learning and updating a user profile automatically.  ... 
doi:10.5120/9377-3859 fatcat:munthed3jfdkfjzlth2dafmeou

A Knowledge Based Word Sense Disambiguation in Telugu Language

2020 International Journal of Engineering and Advanced Technology  
A Knowledge based approach is proposed for disambiguating Telugu polysemous phrases using the computational linguistics tool, IndoWordNet.  ...  The task of WSD (Word sense disambiguation) requires finding out the similarity among the target phrase and the nearby phrase.  ...  Another method to Knowledge based word sense disambiguation [6] plots the senses of nearby phrases within the hierarchy of senses of the difficult phrase.  ... 
doi:10.35940/ijeat.a1911.1010120 fatcat:hdv4gp2rdze5ffvcipudk5rnfe

Cross-Language Information Filtering: Word Sense Disambiguation vs. Distributional Models [chapter]

Cataldo Musto, Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro
2011 Lecture Notes in Computer Science  
In this paper, we compared two content-based techniques able to provide users with cross-language recommendations: the first one relies on a knowledge-based word sense disambiguation technique that uses  ...  user profiles.  ...  The approach relyes on MultiWordNet to perform Word Domain Disambiguation and to create synset-based multilingual user profiles shown effective for news filtering.  ... 
doi:10.1007/978-3-642-23954-0_24 fatcat:ytmfhwaqejhfdmedyibprkgapu

Semantic grounding of social annotations for enhancing resource classification in folksonomies

Antonela Tommasel, Daniela Godoy
2014 Journal of Intelligent Information Systems  
Since there are no constrains on the terms that can be used for tagging, noise and ambiguity are introduced when users annotate resources.  ...  Several strategies for tag pre-processing, concept disambiguation and incorporation of semantic entities to representations are discussed and evaluated in this paper.  ...  WordNet resembles a thesaurus, as it groups words together based on their meanings. First, WordNet interlinks not just word forms based on their syntactical composition but specific senses of words.  ... 
doi:10.1007/s10844-014-0339-y fatcat:f7nk4hwm6jg37afqptkdruenpe

Semantics-based news recommendation

Michel Capelle, Flavius Frasincar, Marnix Moerland, Frederik Hogenboom
2012 Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12  
However, this technique does not take into account the actual meaning of words.  ...  Therefore, we propose two new methods based on concepts and their semantic similarities, from which we derive the similarities between news items.  ...  Acknowledgment The authors are partially sponsored by the NWO Physical Sciences Free Competition project 612.001.009: Financial Events Recognition in News for Algorithmic Trading (FER-NAT) and the Dutch  ... 
doi:10.1145/2254129.2254163 dblp:conf/wims/CapelleFMH12 fatcat:kwtt4mux75eqxlshezx3basw3q

Detection and Analysis of Stress using Machine Learning Techniques

2019 International Journal of Engineering and Advanced Technology  
Keywords: Stress Detection, Data Mining, TensiStrength, word sense disambiguation.  ...  The major drawback of machine translation is Word Sense Disambiguation. There is a fact that a single word can have multiple meanings or "senses."  ...  This unified model present Word Sense disambiguation based on vector representation and learn distributed vector representation for sense combined In this using a concept of WordNet: In reality large word  ... 
doi:10.35940/ijeat.f8573.109119 fatcat:qjqljdq3pnh5vfcmojixjyccee

Ontology-Driven News Classification with Aethalides

Wouter Rijvordt, Frederik Hogenboom, Flavius Frasincar
2019 Journal of Web Engineering  
For this, Aethalides applies word sense disambiguation and ontology learning methods to news items.  ...  It uses an ontology crafted from available news sources, allowing users to select and filter interesting concepts from a domain ontology.  ...  This might have been higher, if not for the large number of senses for words in WordNet.  ... 
doi:10.13052/jwe1540-9589.1873 dblp:journals/jwe/RijvordtHF19 fatcat:admimulgjbajtomiens7ujyq5q

Evaluation on knowledge extraction and machine learning in resolving Malay word ambiguity

M.F. Yahaya, N.A. Rahman, Z.A. Bakar, H Hasmy
2018 Journal of Fundamental and Applied Sciences  
The Word Sense Disambiguation (WSD) method is determined by machine learning, corpus based approaches namely Malay-Malay corpus and English-Malay corpus.  ...  The Word Sense Disambiguation (WSD) method is determined by machine learning, corpus based approaches namely Malay-Malay corpus and English-Malay corpus.  ...  WordNet is indeed rich in information and it is a standout amongst the most commonplace apparatuses for word sense disambiguation [22] . Classification Task (Method) Fig.6.  ... 
doi:10.4314/jfas.v9i5s.10 fatcat:x3htdqc7tbadfc7pj447bp5iye
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